Triple
T22109351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIPRNET |
E546373
|
entity |
| Predicate | separatedFrom |
P243
|
FINISHED |
| Object | JWICS |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: JWICS | Statement: [NIPRNET, separatedFrom, JWICS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JWICS Context triple: [NIPRNET, separatedFrom, JWICS]
-
A.
JWICS
chosen
JWICS (Joint Worldwide Intelligence Communications System) is the U.S. Department of Defense’s top-secret-level secure network used for transmitting highly classified intelligence information.
-
B.
JWCC
JWCC is a public community college in Illinois offering two-year degrees, certificates, and transfer programs for local and regional students.
-
C.
JW
JW is the IATA airline designator assigned to Vanilla Air, a former Japanese low-cost carrier.
-
D.
JWY
JWY is the FAA location identifier for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas.
-
E.
WJC
WJC is a global federation of Jewish communities and organizations that represents Jewish interests and advocates for Jewish rights on the international stage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291b9c988190b3ddd06d1f40dc78 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.